Data & Insight Analyst

This is a hybrid position, offering flexibility for remote work and the opportunity to collaborate in person at either of our offices in London or Vendargues (France), where our team regularly comes together.

This role suits someone in the early stage of their career. Some professional experience is welcome but we would highly value a passionate candidate with little to no professional experience.

We look for someone who is genuinely interested in what makes our business tick, and how data and analysis can be used to understand and improve every aspect of the business, generating long-term value. The role will be varied and engaging, but will include:

1) Building Consistent Centralised Reporting & Delivering Insights

Use our BI tool Mode to:

• Maintain and enhance real-time reporting for various teams across the group.
• Automate daily/weekly/monthly reporting to monitor business performance for all teams.
• Help inform business decisions with insightful reporting.

Provide custom analyses:

• Provide analytical insight for commercial owners across the business to both inform and support operational and strategic decision making.
• Deliver ad hoc bespoke analysis and field queries to help the executive team and wider business answer key commercial questions.
• Analise web analytics data and provide insight on the likely explanations behind deviances with actionable suggestions for improvements.
•  Use Bayesian Statistics to run A/B Tests, delivering robust advice to the business on which improvements to implement.

2) Creating Data Models

• Analytics Engineering: in this role, you’ll use dbt to build and optimise our data infrastructure, ensuring clean, reliable data for our stakeholders.
• Model Development: Design, build, and maintain dbt models to support data needs and ensure optimal performance.
• Testing & documentation: Create dbt tests to validate data quality and prevent issues. Document model logic to ensure clarity and transparency.
• Continuous Improvement: Identify and implement dbt best practices to enhance transformation efficiency.

3) Supporting on Data-Driven Projects

• These include various forecasting models typically built in Python
• Anything from helping work out how many people will visit the website each day through calculating the future value of all our members
• A chance to deploy cutting-edge machine learning techniques that really have an impact